Google Pixel 7
Geekbench AI Score
1088
Single Precision Score
1069
Half Precision Score
2003
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 15 2025 09:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (Q)
|
100% |
1457
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1785
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
3649
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
83% |
1352
109.2 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
3533
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2079
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2058
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3418
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4067
5.28 IPS |
|
|
Style Transfer (HP)
|
89% |
3539
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
8169
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
502
669.9 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.7 IPS |
|
|
Text Classification (Q)
|
88% |
880
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
506
18.0 IPS |
